Tessema Zenaw, Yibeltal Desalegn, Wubetu Muluken, Dessie Bekalu, Molla Yalew
Department of Pharmacy, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
SAGE Open Med. 2021 Jul 24;9:20503121211035050. doi: 10.1177/20503121211035050. eCollection 2021.
This study was aimed to assess the type, prevalence, characteristics of drug interaction and factors associated from admitted patients in medical wards at primary, district and referral hospitals in East Gojjam Zone, Amhara Regional State, Ethiopia.
A facility-based retrospective cross-sectional study design was conducted among admitted patients in medical wards at different hospitals of East Gojjam Zone from September 2019 to February 2020. Patient-specific data were extracted from patient medical prescription papers using a structured data collection tool. Potential drug-drug interaction was identified using www.drugs.com as drug-drug interaction checker. Data were analyzed using SPSS version 23.0. To identify the explanatory predictors of potential drug-drug interaction, logistic regression analysis was done at a statistical significance level of -value < 0.05.
Of the total 554 prescriptions, 51.1% were prescribed for females with a mean (±standard deviation) age of 40.85 ± 23.09 years. About 46.4% prescriptions of patients had one or more comorbid conditions, and the most frequent identified comorbid conditions were infectious (18.6%) and cardiac problems (6.3%) with 0.46 ± 0.499 average number of comorbid conditions per patient. Totally, 1516 drugs were prescribed with 2.74 ± 0.848 mean number per patient and range of 2-6. Two hundred and forty-two (43.7%) prescriptions had at least one potential drug-drug interaction, and it was found that 292 drug interactions were presented. Almost half of the drug-drug interaction identified was moderate (50%). Overall, the prevalence rate of drug-drug interaction was 43.7%. Older age (adjusted odds ratio = 8.301; 95% confidence interval (5.51-12.4), = 0.000), presence of comorbidities (adjusted odds ratio = 1.72; 95% confidence interval (1.10-2.68), = 0.000) and number of medications greater or equal to 3 (adjusted odds ratio = 2.69; 95% confidence interval (1.42-5.11), = 0.000) were independent predictors for the occurrence of potential drug-drug interaction.
The prevalence of potential drug-drug interaction among admitted patients was relatively high. Pharmacodynamic drug-drug interaction was the common mechanism of drug-drug interaction with moderate degree. Therefore, close follow-up of hospitalized patients is highly recommended.
本研究旨在评估埃塞俄比亚阿姆哈拉州东戈贾姆地区一级、区级和转诊医院内科病房收治患者的药物相互作用类型、患病率、特征及相关因素。
2019年9月至2020年2月,在东戈贾姆地区不同医院的内科病房收治患者中开展基于机构的回顾性横断面研究。使用结构化数据收集工具从患者医疗处方纸上提取患者特定数据。使用www.drugs.com作为药物相互作用检查器来识别潜在的药物相互作用。使用SPSS 23.0版本进行数据分析。为识别潜在药物相互作用的解释性预测因素,在统计学显著性水平P值<0.05下进行逻辑回归分析。
在总共554张处方中,51.1%是开给女性的,平均(±标准差)年龄为40.85±23.09岁。约46.4%的患者处方有一种或多种合并症,最常见的合并症是感染性疾病(18.6%)和心脏问题(6.3%),每位患者合并症的平均数量为0.46±0.499。总共开出了1516种药物,每位患者平均数量为2.74±0.848,范围为2至6种。242张(43.7%)处方至少有一种潜在的药物相互作用,共发现292种药物相互作用。几乎一半(50%)的已识别药物相互作用为中度。总体而言,药物相互作用的患病率为43.7%。年龄较大(调整后的优势比=8.301;95%置信区间(5.51 - 12.4),P = 0.000)、存在合并症(调整后的优势比=1.72;95%置信区间(1.10 - 2.68),P = 0.000)以及用药数量大于或等于3(调整后的优势比=2.69;95%置信区间(1.42 - 5.11),P = 0.000)是潜在药物相互作用发生的独立预测因素。
收治患者中潜在药物相互作用的患病率相对较高。药效学药物相互作用是药物相互作用的常见机制,程度为中度。因此,强烈建议对住院患者进行密切随访。